Presentation
26 April 2016 Momentum transfer Monte Carlo model for the simulation of laser speckle contrast imaging (Conference Presentation)
Caitlin Regan, Carole K Hayakawa, Bernard Choi
Author Affiliations +
Abstract
Laser speckle imaging (LSI) enables measurement of relative blood flow in microvasculature and perfusion in tissues. To determine the impact of tissue optical properties and perfusion dynamics on speckle contrast, we developed a computational simulation of laser speckle contrast imaging. We used a discrete absorption-weighted Monte Carlo simulation to model the transport of light in tissue. We simulated optical excitation of a uniform flat light source and tracked the momentum transfer of photons as they propagated through a simulated tissue geometry. With knowledge of the probability distribution of momentum transfer occurring in various layers of the tissue, we calculated the expected laser speckle contrast arising with coherent excitation using both reflectance and transmission geometries. We simulated light transport in a single homogeneous tissue while independently varying either absorption (.001-100mm^-1), reduced scattering (.1-10mm^-1), or anisotropy (0.05-0.99) over a range of values relevant to blood and commonly imaged tissues. We observed that contrast decreased by 49% with an increase in optical scattering, and observed a 130% increase with absorption (exposure time = 1ms). We also explored how speckle contrast was affected by the depth (0-1mm) and flow speed (0-10mm/s) of a dynamic vascular inclusion. This model of speckle contrast is important to increase our understanding of how parameters such as perfusion dynamics, vessel depth, and tissue optical properties affect laser speckle imaging.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caitlin Regan, Carole K Hayakawa, and Bernard Choi "Momentum transfer Monte Carlo model for the simulation of laser speckle contrast imaging (Conference Presentation)", Proc. SPIE 9707, Dynamics and Fluctuations in Biomedical Photonics XIII, 970703 (26 April 2016); https://doi.org/10.1117/12.2212209
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Monte Carlo methods

Tissues

Optical simulations

Speckle

Laser speckle contrast imaging

Absorption

Laser speckle imaging

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